'We're Lucky Because We Have Our Own TPUs,' Says DeepMind CEO Demis Hassabis — Yet Admits AI Memory Shortage Constrains Research [Yahoo! Finance]
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Source: Yahoo! Finance
The global artificial intelligence race is accelerating, but even the most advanced labs are running into hardware limits. Demis Hassabis , CEO of Google's DeepMind AI unit, recently told CNBC that shortages in memory, graphics processing units and electricity are slowing AI deployment. "Yes, I think that's constraining a lot of the deployment for sure," Hassabis said. China Closing The Gap China remains central to the global AI competition. Hassabis told CNBC that Chinese developers are likely still several months behind leading U.S. labs, though the gap may now be smaller than previously estimated. Don't Miss: This AI Helps Fortune 1000 Brands Avoid Costly Ad Mistakes — See Why Investors Are Paying Attention Disney Was Built on Character IP — This Pre-IPO Company Is Using the Same Playbook He said there are "very talented teams" in China and that those AI teams' "seed models are really good," pointing to recent advances from companies including Alibaba and ByteDan
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